Gregory Cohen

Stochastic Synapses Enable Efficient Brain-Inspired Learning Machines

Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey

A review of stochastic resonance in rotating machine fault detection

The future of electronics based on memristive systems

Tianjic: A Unified and Scalable Chip Bridging Spike-Based and Continuous Neural Computation

Fault Diagnosis Method Based on Principal Component Analysis and Broad Learning System

A Survey of Autonomous Driving: Common Practices and Emerging Technologies

Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences

In-memory computing with resistive switching devices

A survey of deep neural network architectures and their applications

Event-Based Vision: A Survey

Memory and Information Processing in Neuromorphic Systems

Low-power transcutaneous current stimulator for wearable applications

An FPGA Implementation of a Polychronous Spiking Neural Network with Delay Adaptation

Skimming Digits: Neuromorphic Classification of Spike-Encoded Images

Event-based Sensing for Space Situational Awareness

Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccades

Neuromorphic Hardware Architecture Using the Neural Engineering Framework for Pattern Recognition